Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations515
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.4 KiB
Average record size in memory144.0 B

Variable types

Numeric15
DateTime1
Categorical1

Alerts

label is highly imbalanced (72.0%) Imbalance
hr_max is highly skewed (γ1 = 22.68410691) Skewed
date has unique values Unique
hr_mean has 98 (19.0%) zeros Zeros
hr_min has 510 (99.0%) zeros Zeros
hr_max has 98 (19.0%) zeros Zeros
hr_median has 100 (19.4%) zeros Zeros
hr_valid_count has 85 (16.5%) zeros Zeros
gyr_var has 82 (15.9%) zeros Zeros
gyr_max has 81 (15.7%) zeros Zeros
gyr_energy has 81 (15.7%) zeros Zeros
linacc_var has 82 (15.9%) zeros Zeros
linacc_max has 81 (15.7%) zeros Zeros
linacc_energy has 81 (15.7%) zeros Zeros
steps_walking has 21 (4.1%) zeros Zeros
steps_running has 152 (29.5%) zeros Zeros
total_distance has 21 (4.1%) zeros Zeros
total_calories has 21 (4.1%) zeros Zeros

Reproduction

Analysis started2025-06-08 12:13:15.496432
Analysis finished2025-06-08 12:14:01.102180
Duration45.61 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

hr_mean
Real number (ℝ)

Zeros 

Distinct417
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.84019
Minimum0
Maximum184.076
Zeros98
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:01.277428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174.8015
median87.174
Q395.07
95-th percentile109.7976
Maximum184.076
Range184.076
Interquartile range (IQR)20.2685

Descriptive statistics

Standard deviation38.242047
Coefficient of variation (CV)0.51790288
Kurtosis0.26357742
Mean73.84019
Median Absolute Deviation (MAD)9.571
Skewness-1.0476365
Sum38027.698
Variance1462.4542
MonotonicityNot monotonic
2025-06-08T12:14:01.534914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
 
19.0%
91.181 2
 
0.4%
75.075 1
 
0.2%
88.985 1
 
0.2%
86.107 1
 
0.2%
83.61 1
 
0.2%
64.753 1
 
0.2%
68.412 1
 
0.2%
89.444 1
 
0.2%
86.413 1
 
0.2%
Other values (407) 407
79.0%
ValueCountFrequency (%)
0 98
19.0%
28.071 1
 
0.2%
38.468 1
 
0.2%
63.154 1
 
0.2%
64.291 1
 
0.2%
64.753 1
 
0.2%
65.267 1
 
0.2%
67.354 1
 
0.2%
67.429 1
 
0.2%
67.683 1
 
0.2%
ValueCountFrequency (%)
184.076 1
0.2%
181.726 1
0.2%
165.029 1
0.2%
164.472 1
0.2%
154.912 1
0.2%
152.21 1
0.2%
131.51 1
0.2%
126.622 1
0.2%
122.479 1
0.2%
121.323 1
0.2%

hr_min
Real number (ℝ)

Zeros 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66213592
Minimum0
Maximum77
Zeros510
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:01.692621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.7618194
Coefficient of variation (CV)10.212132
Kurtosis105.9107
Mean0.66213592
Median Absolute Deviation (MAD)0
Skewness10.301012
Sum341
Variance45.722202
MonotonicityNot monotonic
2025-06-08T12:14:01.830761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 510
99.0%
50 1
 
0.2%
77 1
 
0.2%
67 1
 
0.2%
72 1
 
0.2%
75 1
 
0.2%
ValueCountFrequency (%)
0 510
99.0%
50 1
 
0.2%
67 1
 
0.2%
72 1
 
0.2%
75 1
 
0.2%
77 1
 
0.2%
ValueCountFrequency (%)
77 1
 
0.2%
75 1
 
0.2%
72 1
 
0.2%
67 1
 
0.2%
50 1
 
0.2%
0 510
99.0%

hr_max
Real number (ℝ)

Skewed  Zeros 

Distinct106
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.13398
Minimum0
Maximum100000
Zeros98
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:02.022794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1137.5
median171
Q3191
95-th percentile216
Maximum100000
Range100000
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation4400.8264
Coefficient of variation (CV)13.053642
Kurtosis514.71205
Mean337.13398
Median Absolute Deviation (MAD)24
Skewness22.684107
Sum173624
Variance19367273
MonotonicityNot monotonic
2025-06-08T12:14:02.238443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
 
19.0%
220 17
 
3.3%
183 16
 
3.1%
178 11
 
2.1%
190 10
 
1.9%
158 9
 
1.7%
182 9
 
1.7%
184 9
 
1.7%
179 8
 
1.6%
174 8
 
1.6%
Other values (96) 320
62.1%
ValueCountFrequency (%)
0 98
19.0%
83 1
 
0.2%
88 1
 
0.2%
102 1
 
0.2%
109 1
 
0.2%
110 1
 
0.2%
111 1
 
0.2%
112 1
 
0.2%
113 2
 
0.4%
114 1
 
0.2%
ValueCountFrequency (%)
100000 1
 
0.2%
220 17
3.3%
219 3
 
0.6%
218 1
 
0.2%
217 3
 
0.6%
216 2
 
0.4%
215 2
 
0.4%
214 2
 
0.4%
213 2
 
0.4%
212 1
 
0.2%

hr_median
Real number (ℝ)

Zeros 

Distinct67
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.500971
Minimum0
Maximum189
Zeros100
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:02.433565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170
median82
Q391.5
95-th percentile106
Maximum189
Range189
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation37.634086
Coefficient of variation (CV)0.53380947
Kurtosis0.41614196
Mean70.500971
Median Absolute Deviation (MAD)10
Skewness-0.82100468
Sum36308
Variance1416.3244
MonotonicityNot monotonic
2025-06-08T12:14:02.763214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
 
19.4%
86 27
 
5.2%
85 17
 
3.3%
80 17
 
3.3%
84 17
 
3.3%
89 15
 
2.9%
88 14
 
2.7%
74 14
 
2.7%
93 14
 
2.7%
79 14
 
2.7%
Other values (57) 266
51.7%
ValueCountFrequency (%)
0 100
19.4%
61 1
 
0.2%
62 2
 
0.4%
63 4
 
0.8%
64 1
 
0.2%
65 4
 
0.8%
66 5
 
1.0%
67 3
 
0.6%
68 3
 
0.6%
69 4
 
0.8%
ValueCountFrequency (%)
189 1
0.2%
187 1
0.2%
185 1
0.2%
173 1
0.2%
171 1
0.2%
156 1
0.2%
151 1
0.2%
135 1
0.2%
130 1
0.2%
125 1
0.2%

hr_valid_count
Real number (ℝ)

Zeros 

Distinct423
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203387.77
Minimum0
Maximum628379
Zeros85
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:03.119714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147455
median209212
Q3335880
95-th percentile401485
Maximum628379
Range628379
Interquartile range (IQR)288425

Descriptive statistics

Standard deviation145339.21
Coefficient of variation (CV)0.7145917
Kurtosis-1.1546882
Mean203387.77
Median Absolute Deviation (MAD)132101
Skewness-0.060796172
Sum1.047447 × 108
Variance2.1123486 × 1010
MonotonicityNot monotonic
2025-06-08T12:14:03.422886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
16.5%
1 8
 
1.6%
357554 2
 
0.4%
314668 1
 
0.2%
369977 1
 
0.2%
175557 1
 
0.2%
380436 1
 
0.2%
372214 1
 
0.2%
83193 1
 
0.2%
201343 1
 
0.2%
Other values (413) 413
80.2%
ValueCountFrequency (%)
0 85
16.5%
1 8
 
1.6%
2 1
 
0.2%
36 1
 
0.2%
54 1
 
0.2%
99 1
 
0.2%
326 1
 
0.2%
348 1
 
0.2%
619 1
 
0.2%
1536 1
 
0.2%
ValueCountFrequency (%)
628379 1
0.2%
572140 1
0.2%
490356 1
0.2%
487982 1
0.2%
461733 1
0.2%
456325 1
0.2%
453955 1
0.2%
450793 1
0.2%
442003 1
0.2%
430804 1
0.2%

gyr_var
Real number (ℝ)

Zeros 

Distinct434
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2669.4804
Minimum0
Maximum9926.019
Zeros82
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:03.806064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1717.7425
median2330.212
Q34024.363
95-th percentile7491.5557
Maximum9926.019
Range9926.019
Interquartile range (IQR)3306.6205

Descriptive statistics

Standard deviation2299.0872
Coefficient of variation (CV)0.86124893
Kurtosis0.3186063
Mean2669.4804
Median Absolute Deviation (MAD)1663.253
Skewness0.88181095
Sum1374782.4
Variance5285801.8
MonotonicityNot monotonic
2025-06-08T12:14:04.110708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
15.9%
2679.194 1
 
0.2%
2618.271 1
 
0.2%
2935.826 1
 
0.2%
25.423 1
 
0.2%
1955.039 1
 
0.2%
3091.898 1
 
0.2%
4851.522 1
 
0.2%
4578.91 1
 
0.2%
0.034 1
 
0.2%
Other values (424) 424
82.3%
ValueCountFrequency (%)
0 82
15.9%
0.008 1
 
0.2%
0.014 1
 
0.2%
0.02 1
 
0.2%
0.023 1
 
0.2%
0.026 1
 
0.2%
0.034 1
 
0.2%
0.06 1
 
0.2%
0.072 1
 
0.2%
6.604 1
 
0.2%
ValueCountFrequency (%)
9926.019 1
0.2%
9566.273 1
0.2%
9306.915 1
0.2%
9293.459 1
0.2%
9212.549 1
0.2%
8972.274 1
0.2%
8856.626 1
0.2%
8842.383 1
0.2%
8815.162 1
0.2%
8735.823 1
0.2%

gyr_max
Real number (ℝ)

Zeros 

Distinct435
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1330.1239
Minimum0
Maximum3240.984
Zeros81
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:04.489845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11071.665
median1448.167
Q31823.158
95-th percentile2325.2385
Maximum3240.984
Range3240.984
Interquartile range (IQR)751.493

Descriptive statistics

Standard deviation742.67185
Coefficient of variation (CV)0.55834789
Kurtosis-0.43403382
Mean1330.1239
Median Absolute Deviation (MAD)377.128
Skewness-0.55458072
Sum685013.79
Variance551561.48
MonotonicityNot monotonic
2025-06-08T12:14:04.860096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
15.7%
932.156 1
 
0.2%
2279.113 1
 
0.2%
914.036 1
 
0.2%
1535.337 1
 
0.2%
1471.066 1
 
0.2%
2333.799 1
 
0.2%
2031.552 1
 
0.2%
0.757 1
 
0.2%
1089.124 1
 
0.2%
Other values (425) 425
82.5%
ValueCountFrequency (%)
0 81
15.7%
0.757 1
 
0.2%
2.294 1
 
0.2%
2.344 1
 
0.2%
2.374 1
 
0.2%
2.446 1
 
0.2%
2.466 1
 
0.2%
3.476 1
 
0.2%
42.039 1
 
0.2%
115.928 1
 
0.2%
ValueCountFrequency (%)
3240.984 1
0.2%
2972.708 1
0.2%
2940.773 1
0.2%
2758.137 1
0.2%
2749.562 1
0.2%
2674.624 1
0.2%
2606.131 1
0.2%
2574.621 1
0.2%
2530.265 1
0.2%
2521.665 1
0.2%

gyr_energy
Real number (ℝ)

Zeros 

Distinct435
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.830952 × 109
Minimum0
Maximum1.4006945 × 1010
Zeros81
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:05.236035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.6718844 × 108
median2.5502914 × 109
Q34.3940021 × 109
95-th percentile7.273199 × 109
Maximum1.4006945 × 1010
Range1.4006945 × 1010
Interquartile range (IQR)3.8268136 × 109

Descriptive statistics

Standard deviation2.4541077 × 109
Coefficient of variation (CV)0.86688423
Kurtosis0.47629339
Mean2.830952 × 109
Median Absolute Deviation (MAD)1.9339615 × 109
Skewness0.80283906
Sum1.4579403 × 1012
Variance6.0226444 × 1018
MonotonicityNot monotonic
2025-06-08T12:14:05.645219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
15.7%
20135486.97 1
 
0.2%
9283774015 1
 
0.2%
18451777.49 1
 
0.2%
2894024455 1
 
0.2%
2171634774 1
 
0.2%
7384724560 1
 
0.2%
6819817240 1
 
0.2%
257.377 1
 
0.2%
168018526.1 1
 
0.2%
Other values (425) 425
82.5%
ValueCountFrequency (%)
0 81
15.7%
6.081 1
 
0.2%
32.414 1
 
0.2%
225.258 1
 
0.2%
257.377 1
 
0.2%
276.051 1
 
0.2%
402.746 1
 
0.2%
1353.566 1
 
0.2%
2850.678 1
 
0.2%
24104.713 1
 
0.2%
ValueCountFrequency (%)
1.400694499 × 10101
0.2%
1.066099784 × 10101
0.2%
1.038846347 × 10101
0.2%
1.025023396 × 10101
0.2%
9789467737 1
0.2%
9283774015 1
0.2%
9212217305 1
0.2%
9063687414 1
0.2%
8813170693 1
0.2%
8447635103 1
0.2%

linacc_var
Real number (ℝ)

Zeros 

Distinct424
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0338913
Minimum0
Maximum33.762
Zeros82
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:05.890514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.377
median4.114
Q37.279
95-th percentile13.5227
Maximum33.762
Range33.762
Interquartile range (IQR)5.902

Descriptive statistics

Standard deviation4.7461081
Coefficient of variation (CV)0.94283088
Kurtosis5.8039319
Mean5.0338913
Median Absolute Deviation (MAD)2.959
Skewness1.7651752
Sum2592.454
Variance22.525542
MonotonicityNot monotonic
2025-06-08T12:14:06.103431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
15.9%
4.628 3
 
0.6%
7.072 2
 
0.4%
8.799 2
 
0.4%
3.519 2
 
0.4%
0.033 2
 
0.4%
3.852 2
 
0.4%
0.012 2
 
0.4%
4.458 2
 
0.4%
0.82 2
 
0.4%
Other values (414) 414
80.4%
ValueCountFrequency (%)
0 82
15.9%
0.002 1
 
0.2%
0.004 1
 
0.2%
0.008 1
 
0.2%
0.012 2
 
0.4%
0.014 1
 
0.2%
0.024 1
 
0.2%
0.033 2
 
0.4%
0.04 1
 
0.2%
0.179 1
 
0.2%
ValueCountFrequency (%)
33.762 1
0.2%
32.398 1
0.2%
29.655 1
0.2%
21.286 1
0.2%
20.708 1
0.2%
19.532 1
0.2%
18.868 1
0.2%
18.736 1
0.2%
18.653 1
0.2%
17.964 1
0.2%

linacc_max
Real number (ℝ)

Zeros 

Distinct433
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.422431
Minimum0
Maximum6035
Zeros81
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:06.793884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.403
median84.944
Q3104.7705
95-th percentile127.7817
Maximum6035
Range6035
Interquartile range (IQR)55.3675

Descriptive statistics

Standard deviation294.81005
Coefficient of variation (CV)3.1556667
Kurtosis333.45946
Mean93.422431
Median Absolute Deviation (MAD)23.961
Skewness17.413367
Sum48112.552
Variance86912.967
MonotonicityNot monotonic
2025-06-08T12:14:06.996036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
15.7%
9.855 2
 
0.4%
104.411 2
 
0.4%
41.581 1
 
0.2%
112.939 1
 
0.2%
97.262 1
 
0.2%
43.119 1
 
0.2%
77.265 1
 
0.2%
112.692 1
 
0.2%
104.622 1
 
0.2%
Other values (423) 423
82.1%
ValueCountFrequency (%)
0 81
15.7%
0.475 1
 
0.2%
3.368 1
 
0.2%
9.271 1
 
0.2%
9.814 1
 
0.2%
9.835 1
 
0.2%
9.842 1
 
0.2%
9.855 2
 
0.4%
9.89 1
 
0.2%
9.913 1
 
0.2%
ValueCountFrequency (%)
6035 1
0.2%
2641 1
0.2%
1396 1
0.2%
404.009 1
0.2%
144.935 1
0.2%
144.702 1
0.2%
143.842 1
0.2%
143.633 1
0.2%
143.157 1
0.2%
142.09 1
0.2%

linacc_energy
Real number (ℝ)

Zeros 

Distinct435
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5197425.7
Minimum0
Maximum45909577
Zeros81
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2025-06-08T12:14:07.201123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1995842.98
median4750882.3
Q37677666.5
95-th percentile14280583
Maximum45909577
Range45909577
Interquartile range (IQR)6681823.5

Descriptive statistics

Standard deviation4889381.9
Coefficient of variation (CV)0.94073146
Kurtosis9.1302937
Mean5197425.7
Median Absolute Deviation (MAD)3287933.9
Skewness1.8222454
Sum2.6766742 × 109
Variance2.3906055 × 1013
MonotonicityNot monotonic
2025-06-08T12:14:07.415989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
15.7%
33931.199 1
 
0.2%
5523152.997 1
 
0.2%
7004475.908 1
 
0.2%
27994.235 1
 
0.2%
5201549.947 1
 
0.2%
4182625.45 1
 
0.2%
12011561.88 1
 
0.2%
12366364.57 1
 
0.2%
276.305 1
 
0.2%
Other values (425) 425
82.5%
ValueCountFrequency (%)
0 81
15.7%
16.161 1
 
0.2%
61.248 1
 
0.2%
98.43 1
 
0.2%
107.583 1
 
0.2%
120.669 1
 
0.2%
131.935 1
 
0.2%
193.459 1
 
0.2%
276.305 1
 
0.2%
312.519 1
 
0.2%
ValueCountFrequency (%)
45909576.83 1
0.2%
22722240.84 1
0.2%
21075481.91 1
0.2%
20017532.14 1
0.2%
19466770.75 1
0.2%
19094199.03 1
0.2%
18471096.06 1
0.2%
17052714.74 1
0.2%
17035633.3 1
0.2%
16931013.96 1
0.2%

steps_walking
Real number (ℝ)

Zeros 

Distinct483
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4652.1087
Minimum-9488
Maximum18314
Zeros21
Zeros (%)4.1%
Negative4
Negative (%)0.8%
Memory size8.0 KiB
2025-06-08T12:14:07.604421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-9488
5-th percentile37.1
Q11852.5
median4078
Q36814
95-th percentile11387.6
Maximum18314
Range27802
Interquartile range (IQR)4961.5

Descriptive statistics

Standard deviation3670.3203
Coefficient of variation (CV)0.78895841
Kurtosis0.6938161
Mean4652.1087
Median Absolute Deviation (MAD)2427
Skewness0.73461291
Sum2395836
Variance13471251
MonotonicityNot monotonic
2025-06-08T12:14:07.838210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
4.1%
2850 2
 
0.4%
465 2
 
0.4%
5419 2
 
0.4%
122 2
 
0.4%
284 2
 
0.4%
3605 2
 
0.4%
6087 2
 
0.4%
1009 2
 
0.4%
6063 2
 
0.4%
Other values (473) 476
92.4%
ValueCountFrequency (%)
-9488 1
 
0.2%
-614 1
 
0.2%
-72 1
 
0.2%
-19 1
 
0.2%
0 21
4.1%
35 1
 
0.2%
38 1
 
0.2%
55 1
 
0.2%
67 1
 
0.2%
88 1
 
0.2%
ValueCountFrequency (%)
18314 1
0.2%
16774 1
0.2%
16292 1
0.2%
15742 1
0.2%
15180 1
0.2%
15119 1
0.2%
14841 1
0.2%
14642 1
0.2%
14337 1
0.2%
13938 1
0.2%

steps_running
Real number (ℝ)

Zeros 

Distinct149
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.78252
Minimum-68
Maximum3852
Zeros152
Zeros (%)29.5%
Negative1
Negative (%)0.2%
Memory size8.0 KiB
2025-06-08T12:14:08.044261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-68
5-th percentile0
Q10
median7
Q340.5
95-th percentile1424.4
Maximum3852
Range3920
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation550.18206
Coefficient of variation (CV)3.1478093
Kurtosis17.804644
Mean174.78252
Median Absolute Deviation (MAD)7
Skewness4.1070852
Sum90013
Variance302700.3
MonotonicityNot monotonic
2025-06-08T12:14:08.263046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
29.5%
2 23
 
4.5%
1 18
 
3.5%
3 18
 
3.5%
7 18
 
3.5%
5 17
 
3.3%
4 15
 
2.9%
11 12
 
2.3%
6 12
 
2.3%
15 8
 
1.6%
Other values (139) 222
43.1%
ValueCountFrequency (%)
-68 1
 
0.2%
0 152
29.5%
1 18
 
3.5%
2 23
 
4.5%
3 18
 
3.5%
4 15
 
2.9%
5 17
 
3.3%
6 12
 
2.3%
7 18
 
3.5%
8 7
 
1.4%
ValueCountFrequency (%)
3852 1
0.2%
3764 1
0.2%
3570 1
0.2%
3329 1
0.2%
2917 1
0.2%
2745 1
0.2%
2686 1
0.2%
2537 1
0.2%
2510 1
0.2%
2428 1
0.2%

total_distance
Real number (ℝ)

Zeros 

Distinct495
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451.5403
Minimum-7250.142
Maximum13472.34
Zeros21
Zeros (%)4.1%
Negative4
Negative (%)0.8%
Memory size8.0 KiB
2025-06-08T12:14:08.473040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7250.142
5-th percentile24.813
Q11370.99
median3025
Q35002.245
95-th percentile8551.0052
Maximum13472.34
Range20722.482
Interquartile range (IQR)3631.255

Descriptive statistics

Standard deviation2733.1001
Coefficient of variation (CV)0.79184938
Kurtosis0.66996266
Mean3451.5403
Median Absolute Deviation (MAD)1784.99
Skewness0.72599618
Sum1777543.3
Variance7469835.9
MonotonicityNot monotonic
2025-06-08T12:14:08.662860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
4.1%
5085.53 1
 
0.2%
6188.47 1
 
0.2%
3531.43 1
 
0.2%
281.53 1
 
0.2%
1878.81 1
 
0.2%
1916.97 1
 
0.2%
998.54 1
 
0.2%
4835.97 1
 
0.2%
1450.05 1
 
0.2%
Other values (485) 485
94.2%
ValueCountFrequency (%)
-7250.142 1
 
0.2%
-503.2 1
 
0.2%
-80.47 1
 
0.2%
-48.09 1
 
0.2%
0 21
4.1%
21.25 1
 
0.2%
26.34 1
 
0.2%
29.39 1
 
0.2%
36.39 1
 
0.2%
62.88 1
 
0.2%
ValueCountFrequency (%)
13472.34 1
0.2%
12169.24 1
0.2%
11879.628 1
0.2%
11732.39 1
0.2%
11708.28 1
0.2%
11404.276 1
0.2%
11381.79 1
0.2%
10876.298 1
0.2%
10654.914 1
0.2%
10540.189 1
0.2%

total_calories
Real number (ℝ)

Zeros 

Distinct493
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.26794
Minimum-315.79
Maximum601.15
Zeros21
Zeros (%)4.1%
Negative5
Negative (%)1.0%
Memory size8.0 KiB
2025-06-08T12:14:08.858289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-315.79
5-th percentile0.595
Q159.58
median127.53
Q3211.745
95-th percentile373.199
Maximum601.15
Range916.94
Interquartile range (IQR)152.165

Descriptive statistics

Standard deviation118.40274
Coefficient of variation (CV)0.79857273
Kurtosis0.81462014
Mean148.26794
Median Absolute Deviation (MAD)76.31
Skewness0.7698798
Sum76357.99
Variance14019.208
MonotonicityNot monotonic
2025-06-08T12:14:09.107421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
4.1%
42.71 2
 
0.4%
106.98 2
 
0.4%
58.45 1
 
0.2%
11.55 1
 
0.2%
76.58 1
 
0.2%
78.85 1
 
0.2%
41.39 1
 
0.2%
199.06 1
 
0.2%
60.59 1
 
0.2%
Other values (483) 483
93.8%
ValueCountFrequency (%)
-315.79 1
 
0.2%
-20.95 1
 
0.2%
-5.79 1
 
0.2%
-4.16 1
 
0.2%
-1.43 1
 
0.2%
0 21
4.1%
0.85 1
 
0.2%
1.17 1
 
0.2%
1.58 1
 
0.2%
2.5 1
 
0.2%
ValueCountFrequency (%)
601.15 1
0.2%
548.32 1
0.2%
526.97 1
0.2%
512.01 1
0.2%
504.01 1
0.2%
493.33 1
0.2%
479.26 1
0.2%
477.39 1
0.2%
457.63 1
0.2%
439.92 1
0.2%

date
Date

Unique 

Distinct515
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
Minimum2016-01-04 00:00:00
Maximum2022-10-05 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-06-08T12:14:09.317021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:14:09.522681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

label
Categorical

Imbalance 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
490 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters515
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Length

2025-06-08T12:14:09.693829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-06-08T12:14:09.798937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 515
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 515
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 515
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 490
95.1%
1 25
 
4.9%

Interactions

2025-06-08T12:13:58.406941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:16.109162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:18.812251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:21.660790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:26.933549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:30.914443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:33.363267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:36.192624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:39.676305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:42.182004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:44.943264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:47.373899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:50.090427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:53.406414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.260094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:58.548104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:16.529775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:19.003787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:21.815391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:27.206712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:31.073371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:33.510479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:36.446436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:39.837987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:42.372305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:45.108724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:47.523120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:50.367598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:53.565194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.412769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:58.691632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:16.693047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:19.176927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:21.989290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:27.703285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:31.242088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:33.663443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:36.680539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:40.023444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:42.527419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:45.270728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:47.705190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:50.587908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:53.729262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.556598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:58.826157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:16.879190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:19.336431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:22.175836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:28.103577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:31.399571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:33.807968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:36.899171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:40.184598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:42.685749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:45.413273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:47.849862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:50.830643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:53.882376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.700905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:58.964921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:17.050930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:19.493452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:22.426998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:28.477478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:31.573023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:33.968382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:37.199652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:40.350912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:42.847077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:45.584152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:47.994739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:51.110862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:54.075531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.842297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:59.120438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:17.213029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:19.660814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:22.872465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:28.854126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:31.762127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:34.127102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:37.455890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:40.504423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:43.040058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:45.740772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:48.149252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:51.385805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:54.238228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:56.982685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-06-08T12:13:56.098853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-06-08T12:13:58.279360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Missing values

2025-06-08T12:14:00.674921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-06-08T12:14:00.903899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

hr_meanhr_minhr_maxhr_medianhr_valid_countgyr_vargyr_maxgyr_energylinacc_varlinacc_maxlinacc_energysteps_walkingsteps_runningtotal_distancetotal_caloriesdatelabel
077.9710.0153.0135.0619.02679.194932.1562.013549e+074.50041.5813.393120e+040.00.00.0000.002016-01-040
10.0000.00.00.054.02332.962877.5862.531616e+073.62534.6463.944339e+040.00.00.0000.002020-09-160
278.1900.0168.072.0213374.01683.6021346.5192.203843e+092.33673.2003.064243e+062003.03.01560.62074.352020-09-170
390.1950.0202.086.0314195.05493.3251335.0697.527926e+099.08790.1211.250705e+0713222.01772.010876.298477.392020-09-180
483.3230.0207.072.0283454.04762.3922186.0185.683039e+098.647116.1121.033932e+075129.08.03487.920143.142020-09-190
573.7460.0172.067.0398575.01358.2381119.7432.215543e+092.28569.4753.734802e+061213.00.0839.63036.792020-09-200
60.0000.00.00.00.00.0000.0000.000000e+000.0000.0000.000000e+0010856.02083.08965.378397.382020-09-210
784.6030.0200.074.0264638.05821.7091686.9847.059529e+0911.70482.1411.426741e+076850.01739.06052.199272.552020-09-220
884.7070.0206.077.0170730.05146.4861671.9987.321498e+0911.20287.4221.600133e+076587.02537.06499.044306.202020-09-230
987.9580.0200.083.0272692.03325.6111633.1523.828733e+095.47793.1496.321100e+066134.0150.04481.280190.632020-09-240
hr_meanhr_minhr_maxhr_medianhr_valid_countgyr_vargyr_maxgyr_energylinacc_varlinacc_maxlinacc_energysteps_walkingsteps_runningtotal_distancetotal_caloriesdatelabel
52399.6440.0168.098.0204393.07683.3982284.3876.285615e+0913.990113.8391.149326e+075527.012.04128.59169.222022-08-280
525102.0940.0172.098.0152209.08544.8661387.2915.207299e+0915.310108.6989.349705e+063998.0178.03394.64148.382022-08-310
52771.4520.0135.063.0221526.03070.5061580.8382.721321e+095.553103.2404.933286e+061506.00.01119.8946.742022-09-120
52881.9000.0152.074.0121468.0233.157911.2961.920064e+080.47736.7613.958031e+05357.00.0259.9410.012022-09-130
52995.3200.0135.093.046599.03861.9791384.1837.207937e+087.79181.0711.454010e+061220.012.01033.9251.162022-09-140
5300.0000.00.00.00.00.0000.0000.000000e+000.0000.0000.000000e+001009.0752.01640.3689.452022-09-150
531108.1330.0181.0106.063617.08389.5002336.7462.632606e+0916.233110.0545.137074e+062357.022.01723.6570.022022-09-240
5320.0000.00.00.01.099.667462.3146.944627e+060.28921.6772.020540e+040.00.00.000.002022-09-250
53393.4850.0174.086.0102785.05491.9762521.6652.260788e+099.549127.3733.935602e+061889.012.01443.9061.612022-10-040
534106.6490.0194.0105.0212584.09926.0191979.1928.442876e+0918.653129.7261.591520e+079945.0123.07809.45337.302022-10-050